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Education
Verified

Google Scholar Scraper

Extract academic paper citations, author profiles, publication metadata, and research indices from Google Scholar. Built on spider-browser .

Get started Docs
target
scholar.google.com
success rate
99.9%
latency
~4ms
Quick start

Extract data in minutes.

google-scholar-scraper.ts
import { SpiderBrowser } from "spider-browser";

const spider = new SpiderBrowser({
  apiKey: process.env.SPIDER_API_KEY!,
});

await spider.connect();
const page = spider.page!;
await page.goto("https://scholar.google.com/scholar?q=machine+learning+transformers");

const data = await page.evaluate(`(() => {
  const papers = [];
  document.querySelectorAll(".gs_r.gs_or.gs_scl").forEach(el => {
    const title = el.querySelector(".gs_rt a")?.textContent?.trim();
    const authors = el.querySelector(".gs_a")?.textContent?.trim();
    const snippet = el.querySelector(".gs_rs")?.textContent?.trim();
    const citations = el.querySelector(".gs_fl a")?.textContent?.trim();
    const link = el.querySelector(".gs_rt a")?.getAttribute("href");
    if (title) papers.push({ title, authors, snippet, citations, link });
  });
  return JSON.stringify({ total: papers.length, papers: papers.slice(0, 10) });
})()`);

console.log(JSON.parse(data));
await spider.close();
ready to run · spider-browser · TypeScript
Fetch API

One endpoint for scholar.google.com.

Structured JSON from scholar.google.com with a single POST. AI-resolved selectors, cached on the first call.

POST /fetch/scholar.google.com/
Paper titleAuthorsPublication yearCitation countJournalAbstract snippet
cURL
curl -X POST https://api.spider.cloud/fetch/scholar.google.com/ \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"return_format": "json"}'
Python
import requests

resp = requests.post(
    "https://api.spider.cloud/fetch/scholar.google.com/",
    headers={
        "Authorization": "Bearer YOUR_API_KEY",
        "Content-Type": "application/json",
    },
    json={"return_format": "json"},
)
print(resp.json())
Node.js
const resp = await fetch("https://api.spider.cloud/fetch/scholar.google.com/", {
  method: "POST",
  headers: {
    "Authorization": "Bearer YOUR_API_KEY",
    "Content-Type": "application/json",
  },
  body: JSON.stringify({ return_format: "json" }),
});
const data = await resp.json();
console.log(data);
Extraction

Fields you can pull.

Paper titleAuthorsPublication yearCitation countJournalAbstract snippetPDF link
Listings

Course catalog data

Extract courses, instructors, ratings, and pricing from scholar.google.com.

Rendering

Dynamic catalogs

Handle filtered search results, pagination, and lazy-loaded course cards.

Scale

Platform coverage

Scrape entire course catalogs across categories and skill levels.

Related

More Education scrapers.

Start

Start scraping scholar.google.com.

Grab an API key and call the endpoint above. The first request resolves the config; every request after hits cache.